Homepage
Open in app
Sign inGet started

New AI, Machine Learning, and Data Science articles every day.

  • Archive
  • Write for us
  • Choosing an Activation Function for Deep Learning

    Choosing an Activation Function for Deep Learning

    Activation functions are a critical part of the design of a neural network. The choice of activation function in the hidden layer will…
    Go to the profile of Johar M. Ashfaque
    Johar M. Ashfaque
    Jan 24
    Approach Complex Functions with Backpropagation: How I was applying to Yandex.

    Approach Complex Functions with Backpropagation: How I was applying to Yandex.

    Introduction to Backpropagation and Optimization.
    Go to the profile of Chingis Oinar
    Chingis Oinar
    Jan 24
    Big Mart Sales Prediction Project Tutorial

    Big Mart Sales Prediction Project Tutorial

    In this Step-by-Step Big Mart Sales Prediction Tutorial you will learn to perform industry level EDA and other data science techniques.
    Go to the profile of Injemamul Irshad
    Injemamul Irshad
    Jan 23
    A data scientist reviews updated statistics of the UK and US Coronavirus variants

    A data scientist reviews updated statistics of the UK and US Coronavirus variants

    I have not posted on COV19 in the past few days because I want to discuss a variety of data science subjects. It has recently come to…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 23
    How AI Will Change the Cybersecurity Industry

    How AI Will Change the Cybersecurity Industry

    Companies must mount a solid cyber defense against attackers who are now beginning to deploy AI as well.
    Go to the profile of Dr. Heinz Doofenshmirtz
    Dr. Heinz Doofenshmirtz
    Jan 22
    Recreating Nvidia’s PilotNet in PerceptiLabs

    Recreating Nvidia’s PilotNet in PerceptiLabs

    Computer Vision is a key technology for building algorithms to enable self-driving cars. One of the pioneering projects in this field was…
    Go to the profile of Martin Isaksson
    Martin Isaksson
    Jan 22
    Explaining Machine Learning to Grandma: Feature Engineering

    Explaining Machine Learning to Grandma: Feature Engineering

    Feature Engineering for Machine Learning in Plain Language
    Go to the profile of Brinnae Bent @RunsData
    Brinnae Bent @RunsData
    Jan 22
    Artificial intelligence can be used to answer statistical questions about the survivors of the…

    Artificial intelligence can be used to answer statistical questions about the survivors of the…

    One of the great things about artificial intelligence is the fact that computers can be programmed to carry out certain tasks much more…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 22
    ANN without an “E” — part II

    ANN without an “E” — part II

    Implementing an Artificial Multilayer Neural Network using Linear Regression Analysis
    Go to the profile of Mina Suntea
    Mina Suntea
    Jan 22
    Iris Flower Classification Step-by-Step Tutorial

    Iris Flower Classification Step-by-Step Tutorial

    Do you want to learn machine learning, but you’re having trouble getting started? You will create your first Machine Learning project…
    Go to the profile of Injemamul Irshad
    Injemamul Irshad
    Jan 21
    FB Prophet is not always the most suitable time series forecasting model

    FB Prophet is not always the most suitable time series forecasting model

    I have written a series of posts about a univariate dataset of shampoo sales dating back from 1901 to 1903. This series of posts would not…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 21
    Machine Learning Applied to Mammogram Classification

    Machine Learning Applied to Mammogram Classification

    A real-world Machine Learning project detailed step by step.
    Go to the profile of Yann Delclos
    Yann Delclos
    Jan 21
    ANN without an “E” — part I

    ANN without an “E” — part I

    Implementating a basic Artificial Neural Network using Logistic Regression Analysis
    Go to the profile of Mina Suntea
    Mina Suntea
    Jan 20
    GoogLeNet (InceptionV1) with TensorFlow

    GoogLeNet (InceptionV1) with TensorFlow

    InceptionV1 or with a more remarkable name GoogLeNet is one of the most successful models of the earlier years of convolutional neural…
    Go to the profile of mrgrhn
    mrgrhn
    Jan 20
    How statsmodels can be used to predict the sales of Shampoo

    How statsmodels can be used to predict the sales of Shampoo

    Statsmodels is a Python library that is used mainly for statistics. This library has several models that can be used to carry out time…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 20
    A.I from scratch!

    A.I from scratch!

    An A.I project with just your basic Python packages!
    Go to the profile of Aaron Menezes
    Aaron Menezes
    Jan 20
    VGGNet with TensorFlow (Transfer Learning with VGG16 Included)

    VGGNet with TensorFlow (Transfer Learning with VGG16 Included)

    VGG owes its name to the Visual Geometry Group of Oxford University. After being submitted to ILSVRC in 2014[1], the model VGGNet became…
    Go to the profile of mrgrhn
    mrgrhn
    Jan 20
    Introduction to Support Vector Machine(SVM)

    Introduction to Support Vector Machine(SVM)

    In this Blog I will be writing about a well known supervised ML algorithm used for for two-group classification problems, that is, Support…
    Go to the profile of Shubhang Agrawal
    Shubhang Agrawal
    Jan 20
    Linear Regression Clearly Explained (Part 2)

    Linear Regression Clearly Explained (Part 2)

    Understanding the fundamental maths and working of linear regression
    Go to the profile of Ashish Mehta
    Ashish Mehta
    Jan 19
    How to use Computational Search Algorithms to get Tinder Dates

    How to use Computational Search Algorithms to get Tinder Dates

    A comical guide to Reinforcement Learning; Bayesian Statistical Updating & the Exploration vs Exploitation Paradigm.
    Go to the profile of Zach Wolpe
    Zach Wolpe
    Jan 19
    Amplify Cloud Native development using Spring Boot, Docker & Kubernetes in VS Code!

    Amplify Cloud Native development using Spring Boot, Docker & Kubernetes in VS Code!

    Cloud-native Micro-service development being the focus area, we will discuss and build a sample end-to-end Java application by leveraging…
    Go to the profile of LaxmiKumar Reddy Sammeta
    LaxmiKumar Reddy Sammeta
    Jan 19
    How artificial intelligence can be used to solve specific business questions

    How artificial intelligence can be used to solve specific business questions

    One of the main purposes of artificial intelligence is to solve complex questions that are rather cumbersome and lengthy pursuits for…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 19
    How I solved the JetRail competition problem by using a neural network

    How I solved the JetRail competition problem by using a neural network

    There are not a lot of competition questions that involve time series forecasting, but the Analytics Vidhya has a competition question…
    Go to the profile of Tracyrenee
    Tracyrenee
    Jan 19
    Linear Algebra 2: Nullspace

    Linear Algebra 2: Nullspace

    Let’s explore the solutions to Ax = 0.
    Go to the profile of adam dhalla
    adam dhalla
    Jan 19
    Linear Algebra 1: Vector Spaces and The Columnspace

    Linear Algebra 1: Vector Spaces and The Columnspace

    Delving into real linear algebra with columnspace and vector spaces
    Go to the profile of adam dhalla
    adam dhalla
    Jan 19
    About AI In Plain EnglishLatest StoriesArchiveAbout MediumTermsPrivacy